An Intelligent Approach for Smart Home Energy Management System Empowered with Machine learning Techniques

Abstract

Currently, energy is the most important necessity for humans. With new technology advancements and increased use of electric vehicles, daily energy consumption is increasing. In practically every region of the globe, the demand for electricity exceeds the amount of energy produced. The rapid development and evolution of human life, information technology, and the increase in the usage of household devices, the newest automobiles, and electric vehicles all contribute to a larger reliance on electrical energy and, as a result, an increase in carbon dioxide emissions from power plants. The existing worldwide difficulty is how to conserve electricity by reducing energy use and mitigating global warming. This project should include the construction of a Smart Home Energy Management System to optimize the operation of home appliances. It is meant to reduce energy use by monitoring resident behavior. This design suggests an energy management system for the effective use of the electricity produced by a smart home and the energy consumed by the home's electrical appliances. A comprehensive system overview, including the software setup and hardware components, is provided.